中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Toward creating simpler hydrological models: A LASSO subset selection approach

文献类型:SCI/SSCI论文

作者Bardsley W. E.; Vetrova, V.; Liu, S.
发表日期2015
关键词Model simplification Linear basis functions Linear LASSO Subset selection Finite mixture distributions Linear programming Runoff model Groundwater model environmental systems regression shrinkage variable selection stable estimator unit-hydrograph linear-models complexity uncertainty calibration simplicity
英文摘要A formalised means of simplifying hydrological models concurrent with calibration is proposed for use when nonlinear models can be initially formulated as over-parameterised constrained absolute deviation regressions of nonlinear expressions. This provides a flexible modelling framework for approximation of nonlinear situations, while allowing the models to be amenable to algorithmic simplification. The degree of simplification is controlled by a user-specified forcing parameter lambda. That is, an original over-parameterised linear model is reduced to a simpler working model which is no more complex than required for a given application. The degree of simplification is a compromise between two factors. With weak simplification most parameters will remain, risking calibration overfitting. On the other hand, a high degree of simplification generates inflexible models. The linear LASSO (Least Absolute Shrinkage and Selection Operator) is utilised for the simplification process because of its ability to deal with linear constraints in the over-parameterised initial model. (C) 2015 Elsevier Ltd. All rights reserved.
出处Environmental Modelling & Software
72
33-43
收录类别SCI
语种英语
ISSN号1364-8152
源URL[http://ir.igsnrr.ac.cn/handle/311030/38550]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Bardsley W. E.,Vetrova, V.,Liu, S.. Toward creating simpler hydrological models: A LASSO subset selection approach. 2015.

入库方式: OAI收割

来源:地理科学与资源研究所

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